activity
20192026
collaborators

6 papers

cs.GT2026

On Approximate Nash Equilibria in Mean Field Games

Mao Fabrice Djete, Nizar Touzi

In the context of large population symmetric games, approximate Nash equilibria are introduced through equilibrium solutions of the corresponding mean field game in the sense that…

math.OC2025

A non-exchangeable mean field control problem with controlled interactions

Mao Fabrice Djete

This paper introduces and analyzes a new class of mean-field control (\textsc{MFC}) problems in which agents interact through a \emph{fixed but controllable} network structure. In…

math.PR2025

A notion of BSDE on the Wasserstein space and its applications to control problems and PDEs

Mao Fabrice Djete

We introduce a class of backward stochastic differential equations (BSDEs) on the Wasserstein space of probability measures. This formulation extends the classical correspondence b…

math.OC2024

Three connected problems: principal with multiple agents in cooperation, Principal--Agent with Mckean--Vlasov dynamics and multitask Principal--Agent

Mao Fabrice Djete

In this paper, we address three Principal--Agent problems in a moral hazard context and show that they are connected. We start by studying the problem of Principal with multiple Ag…

math.OC2020

McKean-Vlasov optimal control: limit theory and equivalence between different formulations

Fabrice Mao Djete, Dylan Possamaï, Xiaolu Tan

We study a McKean-Vlasov optimal control problem with common noise, in order to establish the corresponding limit theory, as well as the equivalence between different formulations,…

math.OC2019

McKean-Vlasov optimal control: the dynamic programming principle

Mao Fabrice Djete, Dylan Possamaï, Xiaolu Tan

We study the McKean-Vlasov optimal control problem with common noise in various formulations, namely the strong and weak formulation, as well as the Markovian and non-Markovian for…